Show simple item record

dc.contributor.authorChen, Lujie
dc.date.accessioned2021-04-30T19:33:20Z
dc.date.available2021-04-30T19:33:20Z
dc.date.issued2021-04
dc.descriptionLAK21: 11th International Learning Analytics and Knowledge Conference, April 2021, Pages 553–558en_US
dc.description.abstractIn this paper, we explore a kind of teaching-oriented temporal analytics on the timing of support in the context of one-on-one math problem-solving coaching. We build the analytical framework upon the human-human multimodal interaction data collected from the naturalist environments. We demonstrated the potential utility of leveraging survival analysis, a class of statistical methods to model time-to-event data, to gain insights into the timing decisions. We shed light on the heterogeneity of coaching decisions as to when to render support in connection to the problem-solving stages, coaching dyads, as well as the pre-intervention event characteristics. This work opens future avenues into a different type of human tutoring study supported by multimodal data, computational models, and statistical frameworks. This model framework may yield useful reflective teaching analytics to tutors, coaches, or teachers when further developed. We also envision that those analyses may ultimately inform the design of AI-supported autonomous agents that could learn the tutorial interaction logic from empirical data.en_US
dc.description.sponsorshipThe research reported here was supported, in whole or in part, by the Institute of Education Sciences, U.S. Department of Education, through grant R305B150008 to Carnegie Mellon University. The opinions expressed are those of the authors and do not represent the views of the Institute or the U.S. Department of Educationen_US
dc.description.urihttps://dl.acm.org/doi/abs/10.1145/3448139.3448197en_US
dc.format.extent6 pagesen_US
dc.genreconference papers and proceedingsen_US
dc.identifierdoi:10.13016/m2bdcl-kjdz
dc.identifier.citationLujie Karen Chen. 2021. Timing of Support in One-on-one Math Problem Solving Coaching: A Survival Analysis Approach with Multimodal Data. In LAK21: 11th International Learning Analytics and Knowledge Conference (LAK21). Association for Computing Machinery, New York, NY, USA, 553–558. DOI:https://doi.org/10.1145/3448139.3448197en_US
dc.identifier.urihttps://doi.org/10.1145/3448139.3448197
dc.identifier.urihttp://hdl.handle.net/11603/21423
dc.language.isoen_USen_US
dc.publisherACMen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Information Systems Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectmultimodalen_US
dc.subjectlearning analtyicsen_US
dc.subjecthuman tutoring studiesen_US
dc.titleTiming of Support in One-on-one Math Problem Solving Coaching: A Survival Analysis Approach with Multimodal Dataen_US
dc.typeTexten_US


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record